





Tier-1 brand, popular backend title, and metro location make applicant competition high.
Requires in-depth financial services expertise and specific backend/cloud skills, so background fit sensitivity is high.
Explicit 8+ years, mandatory Java/AWS/SQL/BigData stack and finance domain knowledge create high shortlisting strictness.
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Lead design, development, and delivery of secure, scalable software solutions across multiple technical areas within Commercial & Investment Banking.
Drive adoption and set standards for enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operations.
Lead technical evaluations of external vendors and lead communities of practice to promote new technologies and automation for operational stability.
8+ years experience in AWS, SQL, Big Data, S3, and Java with strong system design and application development skills.
5+ years formal training or certification in software engineering concepts with hands-on experience in SDLC and agile methodologies (CI/CD, Application Resiliency, Security).
Demonstrated experience leading use of AI-assisted software development tools including validation of AI outputs for correctness and security.
In-depth knowledge of financial services industry IT systems.
Experienced technical leader comfortable driving adoption of AI-assisted engineering practices across teams.
Strategic mindset focused on improving operational stability through automation and consistent validation standards.
Experienced in evaluating technology vendors and leading cross-functional technology communities within complex financial services environments.